Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 1, pp. 87-103
Evaluation of satellite monitoring capabilities of stream runoff based on the Amu Darya River state analysis
I.D. Mukhamedjanov
1 , А.М. Konstantinova
1 , E.A. Loupian
1 , G.U. Umirzakov
2 1 Space Research Institute RAS, Moscow, Russia
2 Mirzo Ulugbek National University of Uzbekistan, Tashkent, Uzbekistan
Accepted: 14.03.2022
DOI: 10.21046/2070-7401-2022-19-1-87-103
The paper describes the developed approach for monitoring river runoff using optical satellite data based on the virtual gauging stations (VGS) technology and data from ground gauging stations. The main tasks and capabilities of the proposed technology are discussed. In particular, the problems of choosing optimal river sections for the VGS, their installation and calibration approaches, as well as the possibilities of combining such VGS into linked sequences (VGS networks) are considered. To demonstrate the capabilities of the proposed approach, an example of a VGS network production near the Kerki ground station (Turkmenistan) on the Amu Darya River is given. To estimate the efficiency of the constructed VGS network functionality, an analysis of the time series of daily runoff near Kerki hydropost for three years, 2014, 2016, and 2018, is carried out. The paper also describes the main capabilities of the specialized satellite monitoring system EcoSatMS (http://suvo.geosmis.ru) created to implement the approaches proposed in the research and based on the use of the capabilities of the Center for Collective Use (CCU) “IKI-Monitoring” (http://ckp.geosmis.ru). This system is focused on the use and development of the suggested technology, including VGS network production on rivers in the area of interests of CCU “IKI-Monitoring”.
Keywords: water resources monitoring, satellite monitoring, virtual gauging station, CCU “IKI Monitoring”, MNDWI, Amu Darya River
Full textReferences:
- Bykov V. D., Vasil’ev A. V., Gidrometriya (Hydrometry), Leningrad: Gidrometeoizdat, 1977, 448 p. (in Russian).
- Karasev I. F., Rechnaya gidrometriya i uchet vodnykh resursov (River hydrometry and water resources accounting), Leningrad: Gidrometeoizdat, 1980, 310 p. (in Russian).
- Konstantinova A. M., Loupian E. A., Analysis of the consequences of the dam failure of the Sardoba Reservoir on May 1, 2020, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, Vol. 17, No. 3, pp. 261–266 (in Russian), DOI: 10.21046/2070-7401-2020-17-3-261-266.
- Loupian E. A., Proshin A. A., Bourtsev M. A., Kashnitskii A. V., Balashov I. V., Bartalev S. A., Konstantinova A. M., Kobets D. A., Mazurov A. A., Marchenkov V. V., Matveev A. M., Radchenko M. V., Sychugov I. G., Tolpin V. A., Uvarov I. A., Experience of development and operation of the IKI-Monitoring center for collective use of systems for archiving, processing and analyzing satellite data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 3, pp. 151–170 (in Russian), DOI: 10.21046/2070-7401-2019-16-3-151-170.
- Mukhamedjanov I. D., Loupian E. A., Uvarov I. A., The peculiarities of satellite monitoring of Vakhsh cascade by the example of Nurek reservoir, Vestnik Tverskogo gosudarstvennogo universiteta. Seriya “Geografiya i geoekologiya”, 2018, No. 3, pp. 137–151 (in Russian), DOI: 10.26456/2226-7719-2018-3-137-151.
- Mukhamedjanov I. D., Konstantinova A. M., Loupian E. A., Gafurov A. A., Approaches to the design of the remote monitoring system for the Amu Darya River and its tributaries, Materialy Semnadtsatoi Vserossiiskoi otkrytoi konferentsii “Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa” (Proc. 17th Open Conf. “Current problems in Remote Sensing of the Earth from Space”), 11–15 Nov. 2019, Moscow: IKI RAN, 2019, p. 111 (in Russian), DOI: 10.21046/17DZZconf-2019a.
- Mukhamedjanov I. D., Konstantinova A. M., Loupian E. A. (2020a), The use of satellite data for monitoring rivers in the Amu Darya basin, Regional’nye problemy distantsionnogo zondirovaniya Zemli (Regional Problems of Remote Sensing of the Earth), Proc. 6th Intern. Scientific Conf., Krasnoyarsk, 29 Sept. – 2 Oct. 2020, Krasnoyarsk: Sibirskii federal’nyi universitet, 2020, pp. 265–270 (in Russian).
- Mukhamedjanov I. D., Konstantinova A. M., Loupian E. A. (2020b), Virtual gauging station networks formation for the Amu Darya satellite monitoring organization, Materialy 18-i Vserossiiskoi otkrytoi konferentsii “Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa” (Proc. 18th All-Russia Open Conf. “Current problems in Remote Sensing of the Earth from Space”), 16–20 Nov. 2020, Moscow: IKI RAN, 2020, p. 94 (in Russian), DOI: 10.21046/18DZZconf-2020a.
- Terekhov A. G., Abayev N. N., Lagutin E. I., Satellite monitoring of the Sardoba Reservoir in Syr Darya River basin (Uzbekistan) before and after a dam collapses on May 1, 2020, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, Vol. 17, No. 3, pp. 255–260 (in Russian), DOI: 10.21046/2070-7401-2020-17-3-255-260.
- Terekhov A. G., Abayev N. N., Maglinets Yu. A., Satellite monitoring of River Amu Darya oases during 2003–2020 based on irrigation cooling effect, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 18, No. 5, pp. 123–132 (in Russian), DOI: 10.21046/2070-7401-2021-18-5-123-132.
- Dünki R. M., Dressel M., F-Ratio Test and Hypothesis Weighting: A Methodology to Optimize Feature Vector Size, J. Biophysics, 2011, Vol. 2011(4), Art. No. 290617, 11 p., DOI: 10.1155/2011/290617.
- Loupian E. A., Bourtsev M. A., Proshin A. A., Kashnitskii A. V., Balashov I. V., Bartalev S. A., Konstantinova A. M., Kobets D. A., Radchenko M. V., Tolpin V. A., Uvarov I. A., Usage Experience and Capabilities of the VEGA-Science System, Remote Sensing, 2022, Vol. 14, No. 1, Art. No. 77, DOI: doi.org/10.3390/rs14010077.
- Muhamedjanov I. D., Konstantinova A. M., Loupian E. A., The use of satellite data for monitoring rivers in the Amu Darya basin, Regional Problems of Earth Remote Sensing (RPERS 2020): E3S Web Conf., 2020, Vol. 223, 03008, DOI: doi.org/10.1051/e3sconf/202022303008.
- Phiri D., Simwanda M., Salekin S., Nyirenda V., Murayama Y., Ranagalage M., Sentinel-2 Data for Land Cover/Use Mapping: A Review, Remote Sensing, 2020, Vol. 12, Art. No. 2291, DOI: 10.3390/rs12142291.
- Ridwan M. A., Radzi N., Ahmad W. S. H. M. W., Mustafa I. S., Din N., Jalil Y., Isa A. M., Othman N., Zaki W. M. D. W., Applications of Landsat-8 Data: a Survey, Intern. J. Engineering and Technology (UAE), 2018, Vol. 7, pp. 436–441, DOI: 10.14419/ijet.v7i4.35.22858.
- Rokni K., Ahmad A., Selamat A., Hazini Sh., Water Feature Extraction and Change Detection Using Multitemporal Landsat Imagery, Intern. J. Remote Sensing, 2014, Vol. 6, pp. 4173–4189, DOI: 10.3390/rs6054173.
- Stone M., Cross-Validatory Choice and Assessment of Statistical Predictions, J. Royal Statistical Society, Series B (Methodological), 1974. Vol. 36(2), pp. 111–133, DOI: 10.1111/j.2517-6161.1974.tb00994.x.
- Wackerly D., Mendenhall W., Scheaffer R. L., Mathematical Statistics with Applications, 7th ed., Belmont, CA, USA: Thomson Higher Education, 2008, 912 p.